Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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Updated
Nov 29, 2024 - Python
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
A collection of AWESOME things about domian adaptation
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
总结Prompt&LLM论文,开源数据&模型,AIGC应用
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
Efficient few-shot learning with Sentence Transformers
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
FSL-Mate: A collection of resources for few-shot learning (FSL).
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
🎯 Task-oriented embedding tuning for BERT, CLIP, etc.
Measuring Massive Multitask Language Understanding | ICLR 2021
Repository for few-shot learning machine learning projects
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
Implementations of few-shot object detection benchmarks
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
Collection for Few-shot Learning
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
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